QGIS/python/plugins/processing/algs/qgis/RasterLayerHistogram.py

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# -*- coding: utf-8 -*-
"""
***************************************************************************
RasterLayerHistogram.py
---------------------
Date : January 2013
Copyright : (C) 2013 by Victor Olaya
Email : volayaf at gmail dot com
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Victor Olaya'
__date__ = 'January 2013'
__copyright__ = '(C) 2013, Victor Olaya'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
import plotly as plt
import plotly.graph_objs as go
from qgis.core import (QgsProcessingParameterRasterLayer,
QgsProcessingParameterBand,
QgsProcessingParameterNumber,
QgsProcessingParameterFileDestination,
QgsProcessingOutputHtml)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.tools import raster
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class RasterLayerHistogram(QgisAlgorithm):
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INPUT = 'INPUT'
BINS = 'BINS'
OUTPUT = 'OUTPUT'
BAND = 'BAND'
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def group(self):
return self.tr('Graphics')
def __init__(self):
super().__init__()
def initAlgorithm(self, config=None):
self.addParameter(QgsProcessingParameterRasterLayer(self.INPUT,
self.tr('Input layer')))
self.addParameter(QgsProcessingParameterBand(self.BAND,
self.tr('Band number'),
1,
self.INPUT))
self.addParameter(QgsProcessingParameterNumber(self.BINS,
self.tr('number of bins'), minValue=2, defaultValue=10))
self.addParameter(QgsProcessingParameterFileDestination(self.OUTPUT, self.tr('Histogram'), self.tr('HTML files (*.html)')))
self.addOutput(QgsProcessingOutputHtml(self.OUTPUT, self.tr('Histogram')))
def name(self):
return 'rasterlayerhistogram'
def displayName(self):
return self.tr('Raster layer histogram')
def processAlgorithm(self, parameters, context, feedback):
layer = self.parameterAsRasterLayer(parameters, self.INPUT, context)
band = self.parameterAsInt(parameters, self.BAND, context)
nbins = self.parameterAsInt(parameters, self.BINS, context)
output = self.parameterAsFileOutput(parameters, self.OUTPUT, context)
# ALERT: this is potentially blocking if the layer is too big
values = raster.scanraster(layer, feedback, band)
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valueslist = []
for v in values:
if v is not None:
valueslist.append(v)
data = [go.Histogram(x=valueslist,
nbinsx=nbins)]
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plt.offline.plot(data, filename=output, auto_open=False)
return {self.OUTPUT: output}